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Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north

Diversity and Distributions

By:
, , , , , , , , , and
DOI: 10.1111/ddi.12143

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Abstract

Species distribution models have often been hampered by poor local species data, reliance on coarse-scale climate predictors and the assumption that species–environment relationships, even with non-proximate predictors, are consistent across geographical space. Yet locally accurate maps of invasive species, such as the Africanized honeybee (AHB) in North America, are needed to support conservation efforts. Current AHB range maps are relatively coarse and are inconsistent with observed data. Our aim was to improve distribution maps using more proximate predictors (phenology) and using regional models rather than one across the entire range of interest to explore potential differences in drivers.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north
Series title:
Diversity and Distributions
DOI:
10.1111/ddi.12143
Volume
20
Issue:
2
Year Published:
2014
Language:
English
Publisher:
Blackwell Science
Publisher location:
Oxford, England
Description:
9 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Diversity and Distributions
First page:
193
Last page:
201
Number of Pages:
9